2346 Data Validation Jobs - Page 30

Novo Nordisk Global Business Services (GBS) India Department GCM DP RoW Job Location Hyderabad Are you an expert in aseptic manufacturing with a strong quality mindset and a desire to make a tangible impact on global healthNovo Nordisk is seeking a dedicated Manufacturing Specialist to join our Global Contract Manufacturing Drug Product (GCM DP) team in Hyderabad, India. In this role, you''ll be crucial in ensuring the high-quality production of life-saving insulin and GLP-1 products through our Contract Manufacturing Organizations (CMOs). ! The Position As a Manufacturing Specialist (SME), you''ll be the go-to expert driving Technology Transfer projects for commercial products, ensuring top-tier quality with our Contract Manufacturing Organizations (CMO) partners. Your key responsibilities will include: Lead cross-functional teams, ensuring seamless collaboration between Novo Nordisk as the sending Unit and Contract Manufacturing Organizations (CMOs) partners as the receiving Unit. Act as a mentor and support Contract Manufacturing Organizations (CMOs) to ensure Novo Nordisk products are manufactured to the highest quality standards. Provide training, share best practices, and review and approve validation documents to safeguard compliance. Offer oversight and support during the planning and execution of validation and qualification activities. Define, manage, and deliver on complex projects in collaboration with CMOs, Quality Assurance, and project managers. Drive problem-solving initiatives and provide scientific and technical solutions within tight project timelines. Qualifications Bachelor’s /Master’s degree in engineering. Possess 10+Years experience and relevant 5 years of manufacturing experience, especially in an international, multicultural environment. Expertise in aseptic manufacturing processes is non-negotiable. Capable of communicating naturally and effectively with stakeholders at all levels with adept at finding solutions and motivating stakeholders to achieve ambitious goals. Possessing a strong mindset, a focus on continuous improvement, and keen attention to detail. Demonstrates the ability to work independently with minimal supervision, a strong willingness to learn new skills, and the motivation and flexibility to thrive in a fast-paced, dynamic environment. About the Department GCM DP RoW Projects is dedicated to delivering life-saving insulin and GLP-1 to patients in regions such as Africa, India, the Middle East, and Asia. By partnering with CMOs in these areas, the department plays a pivotal role in improving the quality of life for patients living with diabetes and obesity. With a focus on Market Access initiatives, the team tailors projects to meet the unique requirements of each country, offering exciting growth opportunities. The department thrives on innovation and problem-solving, overcoming challenges and navigating complex regulatory landscapes to deliver insulin and GLP-1 on a global scale. Based in Hyderabad, India, you’ll join a diverse and dynamic team committed to making a difference.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Telecom NMS Data Modelling South Bound Experience: 5-8 Years

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Data Science Consulting Experience: 5-8 Years

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Google BigQuery Experience: 5-8 Years

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Ipython Experience: 3-5 Years

Genpact is a global professional services and solutions firm with a workforce of 125,000+ employees spanning across 30+ countries. Driven by innate curiosity, entrepreneurial agility, and the desire to create lasting value for clients, we serve and transform leading enterprises, including Fortune Global 500 companies. Our purpose, the relentless pursuit of a world that works better for people, powers our operations. We specialize in deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Lead Consultant - ETL Manual Tester. We are looking for an experienced Test Manager to oversee and manage testing activities for our Data/ETL (Extract, Transform, Load) program. The ideal candidate will ensure the quality and reliability of our data processing systems. This role involves developing testing strategies, managing a team of test engineers, and collaborating with other departments to ensure the successful delivery of the program. Responsibilities include: Test Strategy & Planning: - Develop and implement a comprehensive testing strategy for the Data transformation/ETL program. - Plan, design, and manage the execution of test cases, scripts, and procedures for data validation and ETL processes. - Oversee the preparation of test data and environments to meet complex data workflow requirements. Team Management & Leadership: - Lead and mentor a team of test engineers, setting clear goals and expectations and providing regular feedback. - Foster a culture of quality and continuous improvement within the team. - Coordinate with project managers, data engineers, and business analysts for effective communication and issue resolution. Testing & Quality Assurance: - Identify defects and issues in data processing and ETL workflows. - Implement and maintain quality assurance policies and procedures for data integrity and reliability. - Monitor and report on testing activities, including test results, defect tracking, and quality metrics. Stakeholder Engagement: - Act as the primary contact for all testing-related activities within the Data/ETL program. - Communicate testing progress, risks, and outcomes to program stakeholders. - Collaborate with business users to align testing strategies with business objectives. Technology & Tools: - Stay updated on the latest testing methodologies, tools, and technologies related to data and ETL processes. - Recommend and implement tools and technologies to enhance testing efficiency. - Ensure the testing team is trained and proficient in using testing tools and technologies. Qualifications we seek in you: - Bachelor's degree in computer science, Information Technology, or related field. - Experience in a testing role focusing on data and ETL processes. - Proven experience managing a testing team for large-scale data projects. - Strong understanding of data modeling, ETL processes, and data warehousing principles. - Proficiency in SQL and database technologies. - Experience with test automation tools and frameworks. - Excellent analytical, problem-solving, and communication skills. - Ability to work collaboratively in a team environment and manage multiple priorities. Preferred Skills: - Experience with cloud-based data warehousing solutions (AWS Redshift, Google BigQuery, Azure Synapse Analytics). - Knowledge of Agile methodologies and working in an Agile environment. If you meet the qualifications mentioned above and are passionate about testing and quality assurance, we invite you to apply for the Lead Consultant - ETL Manual Tester position based in Hyderabad, India.,

Position: Technical Support Executive Experience: 0-1 years Location: Ahmedabad Job Description : Perform backend tasks - Data validation n check. Handle email correspondence with clients and internal teams. Enter, update, and maintain data in internal systems with high level of accuracy. Prepare reports and maintain data as required. Coordinate with service departments to ensure timely information flow. Key Skills: Proficient in MS Office (Excel). Attention to detail and accuracy (Data). Manage time effectively. Key Skills : Data Validation Email Correspondence Data Maintain Excel

Trusted by many of the largest companies globally, Accertify is the leading digital platform assessing risk across the entire customer journey, from Account Monitoring and Payment Risk to Refund Fraud and Dispute Management. Accertify helps maximize revenues and user experience while minimizing loss and customer friction. We offer ultra-fast decision-making and precise control, ensuring our customers are always con dently in the driver s seat and ready to #MoveAtTheSpeedOfRight. Be in the driver s seat of your career as a Machine Learning Engineer with the industry leader- and build a career you can trust. The Machine Learning Engineer will design and deliver high-impact machine learning solutions and tools that push the boundaries of what is possible in a high-performance production setting. In this role, you will tackle complex challenges, delivering transformative machine learning projects that set new standards of excellence and make lasting impact. Key Responsibilities: Own and develop the ML model monitoring and reporting codebase aligning with the existing MLOps framework Collaborate with cross-functional teams to optimize data pipelines through data validation, data profiling, data versioning and model monitoring Design, develop, test, deploy, and maintain scalable, secure software for batch and real-time ML pipelines in a high-throughput and low-latency production environment Demonstrate subject matter expertise and ownership for your team s services Present results to stakeholders and executives as needed Collaborate with the Data Science, Big Data, and DevOps teams Elevate team performance through mentoring, training, code reviews, and unit testing Take ownership of initiatives, propose solutions, and be accountable for projects from inception to completion. Minimum Qualifications: Bachelors degree in computer science or equivalent 4+ years of experience of software engineering in an enterprise setting Experience in Python and Spark (PySpark) Strong Relational database skills in SQL such as JDBC/Oracle or PostgreSQL Experience in deploying ML models in production and familiarity with MLOps Experience working as a part of a larger ML/ Engineering team, documenting code, performing peer code reviews, writing unit tests, and following an SDLC 2+ years of experience in Spark and/or NoSQL databases Preferred Qualifications: High-volume transactional environment experience Understanding statistics and Machine Learning concepts such as traditional ML algorithms, Generative ML algorithms, Concept drift and decay, A|B Testing etc. Big Data components/frameworks such as HDFS, Spark 3.0 etc. Additional Details: Potential salary range: $125-140K. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. This role is eligible for remote US-based (work-from-home) locations. Chicago-based candidates would work in a hybrid capacity from the Accertify HQ in Itasca, IL. Visa Sponsorship: employment eligibility to work for Accertify in the U.S. is required, as Accertify will not pursue Visa sponsorship for this position. What We Offer: At Accertify, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of yourself and your family! Comprehensive Health Coverage: Enjoy peace of mind with medical, dental, and vision insurance options tailored to your needs. Generous Time Off: Recharge with paid time off, holidays, and personal days to maintain a work-life balance. Financial Wellness: Plan for the future with competitive pay, a 401(k) retirement plan with company match, and financial planning resources. Professional Growth: Advance your career with access to training, development programs, and opportunities to grow within the company. Wellness Support: Stay healthy with wellness programs, mental health resources, and fitness perks. Family-Friendly Benefits: Take care of your loved ones with parental leave, adoption assistance, and flexible work arrangements. Perks and Extras: Enjoy additional benefits like commuter assistance, employee discounts, and company-sponsored events. At Accertify, we re committed to supporting your success at work and in life!

As a Systems Data Officer based in London on a 9-Month Fixed Term Contract, you will play a crucial role in supporting data operations. If you are an individual who is inquisitive, analytical, and detail-oriented and find joy in working with data and solving problems, this position is tailored for you. Your primary responsibilities will include cleaning, validating, and preparing data for upload into the new internal system, managing data transfers to ensure accuracy and integrity, collaborating with teams to understand data requirements and address discrepancies, supporting process improvements, troubleshooting system issues, and effectively communicating with stakeholders to facilitate smooth data integration. To excel in this role, you should possess a degree in Mathematics, Physics, or a related field, along with strong communication skills enabling you to collaborate effectively with diverse teams. An analytical mindset with a meticulous attention to detail and data accuracy is imperative, coupled with a comfort level in working with large datasets and tackling problem-solving challenges. Being proactive, eager to learn, and open to involvement in system enhancements are also essential traits for success in this position. This opportunity presents an exciting chance to contribute to a significant system upgrade within a dynamic environment. If you thrive in data-driven roles and thrive in a collaborative work setting, we are eager to hear from you and welcome your application.,

As a PL/SQL Developer with 3+ years of experience in Oracle / Postgres, you will be responsible for developing and maintaining database applications using the PL/SQL programming language. Your key roles and responsibilities will include designing and developing database schemas, stored procedures, functions, and triggers using PL/SQL. You will also be tasked with optimizing database performance by tuning SQL queries and PL/SQL code, as well as developing and executing test plans to ensure the quality and accuracy of the code. Your expertise will be crucial in troubleshooting and resolving issues related to PL/SQL code, implementing database security policies and procedures to safeguard the confidentiality and integrity of data. You should have a strong understanding of software development methodologies and best practices, along with quick problem-solving and analytical skills with attention to detail. Excellent project management skills are necessary to oversee multiple projects and meet deadlines effectively. Your fluency in English with exceptional written and verbal communication skills will be essential for effective collaboration within cross-functional teams. You will provide deployment support, object shipment, and support during any database deployment and integrated system upgrades. Furthermore, you will be responsible for database design, SQL querying, data integration, data modeling, data security, performance tuning, data validation and cleansing, reporting, query optimization, and documentation. Your ability to create and maintain database schemas, optimize SQL queries, integrate data from various sources, ensure data accuracy and consistency, and collaborate with business analysts and report developers for reporting and analytics purposes will be crucial for the success of the projects you will be involved in. Maintaining comprehensive documentation of database structures, schemas, and processes for future reference and team collaboration will also be an integral part of your role as a PL/SQL Developer.,

You should have 2-4 years of solid experience in Tabulation and Data validation using Quantum. Proficiency in Quantum scripting tool is a must. It would be advantageous to have knowledge and working experience in other tools like SPSS, Wincross, QPSMR. Additionally, familiarity with Charting and dashboard creation would be beneficial. Ideal Candidate should possess a Bachelors degree in Science (IT), B. Tech (IT), M. SC (IT), Masters in Computer Applications (MCA) or equivalent. You should demonstrate exceptional ability to multitask and balance multiple projects and priorities. Strong problem-solving skills, including an ability to think outside the box, are essential for this role.,

You will be working at TRST01, a leading Sustainable Tech company based in Hyderabad. TRST01 specializes in innovative solutions for Sustainable Supply Chain management, Automated ESG Reporting, and Climate Action measurement through its digital Measurement, Reporting, and Verification (dMRV) Solution. By leveraging decentralized technology and blockchain, TRST01 delivers reliable data to assist businesses in achieving their ESG goals effectively. As a Data Modeler at TRST01, you will play a crucial role in designing, implementing, and optimizing data models that support carbon accounting, lifecycle analysis, and sustainability reporting. Your responsibilities will include collaborating with cross-functional teams, such as data scientists, software engineers, and sustainability experts, to ensure the integrity, accuracy, and scalability of environmental data models. Key Responsibilities: - Design and develop robust data models for tracking carbon emissions, energy consumption, and sustainability metrics. - Utilize CFRD datasets to establish reliable and scalable data pipelines for climate impact analysis. - Develop entity-relationship diagrams (ERDs) and schema designs to optimize storage and retrieval of climate-related data. - Collaborate with data engineers and scientists to integrate climate and sustainability data into existing platforms. - Implement data validation and quality control measures to ensure accuracy in sustainability reporting. - Support the development of AI/ML models for predictive analysis of carbon reduction strategies. - Ensure compliance with global environmental regulations (such as GHG Protocol, CSRD, and TCFD) in data modeling practices. - Optimize data models for real-time and batch processing of sustainability metrics. - Work with business intelligence teams to develop dashboards and reports based on modeled climate data. - Stay updated with the latest advancements in climate tech, data modeling, and carbon accounting methodologies. Required Qualifications: - Bachelor's or Master's degree in Data Science, Computer Science, Environmental Science, Sustainability, or a related field. - 1-3+ years of experience in data modeling, database design, and schema optimization. - Expertise in CFRD (Carbon Footprint and Reduction Data) and related frameworks. - Strong understanding of relational and non-relational databases (SQL, NoSQL, GraphDB, etc.). - Hands-on experience with big data tools (e.g., Apache Spark, Hadoop) and ETL pipelines. - Proficiency in data modeling tools such as Erwin, Lucidchart, or similar. - Experience working with climate datasets (e.g., satellite imagery, emission inventories, LCA data). - Familiarity with carbon accounting standards like GHG Protocol, SBTi, and ISO 14064. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. Preferred Qualifications: - Experience in cloud-based data solutions (AWS, Azure) for sustainability analytics. - Exposure to machine learning models for climate risk assessment. - Familiarity with GIS-based modeling for environmental impact analysis.,

As a Data Engineer II in the Deprecation Accelerator scope, you will be responsible for designing and maintaining scalable data pipelines both on-premises and on the cloud. Your role will involve understanding input and output data sources, managing upstream and downstream dependencies, and ensuring data quality. A crucial aspect of your job will be to focus on deprecating migrated workflows and migrating workflows to new systems when necessary. The ideal candidate will have expertise in tools like Git, Apache Airflow, Apache Spark, SQL, data migration, and data validation. Your key responsibilities will include: Workflow Deprecation: - Planning and executing the deprecation of migrated workflows by assessing their dependencies and consumption. - Utilizing tools and best practices to identify, mark, and communicate deprecated workflows to stakeholders. Data Migration: - Planning and executing data migration tasks to transfer data between different storage systems or formats. - Ensuring data accuracy and completeness during the migration processes. - Implementing strategies to accelerate data migration by backfilling, validating, and preparing new data assets for use. Data Validation: - Defining and implementing data validation rules to guarantee data accuracy, completeness, and reliability. - Using data validation solutions and anomaly detection methods to monitor data quality. Workflow Management: - Leveraging Apache Airflow to schedule, monitor, and automate data workflows. - Developing and managing Directed Acyclic Graphs (DAGs) in Airflow to orchestrate complex data processing tasks. Data Processing: - Creating and maintaining data processing scripts using SQL and Apache Spark. - Optimizing data processing for performance and efficiency. Version Control: - Utilizing Git for version control, collaborating with the team to manage the codebase and track changes. - Ensuring adherence to best practices in code quality and repository management. Continuous Improvement: - Staying updated with the latest advancements in data engineering and related technologies. - Continuously enhancing and refactoring data pipelines, tooling, and processes to improve performance and reliability. Skills and Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field. - Proficiency in Git for version control and collaborative development. - Strong knowledge of SQL and experience with database technologies. - Experience with data pipeline tools like Apache Airflow. - Proficiency in Apache Spark for data processing and transformation. - Familiarity with data migration and validation techniques. - Understanding of data governance and security practices. - Strong problem-solving skills and the ability to work both independently and in a team. - Excellent communication skills to collaborate with a global team. - Ability to thrive in a high-performing team environment.,

The Enterprise Operations and Quality team oversees the data, services, and applications within the Climate and Sustainability Engineering and MSCIs Data Technology verticals. Our primary responsibility is to manage and support end-to-end Quality Engineering by creating tools and tests that ensure continuous quality assessment of applications, services, and generated data. MSCI is renowned for its high-quality data, which is crucial for critical investment decisions, and our role is vital to this mission. Your Key Responsibilities Create and deploy engineering solutions to tackle intricate data validation issues. Write code in Python and/or Java to ensure the integrity of high-quality data. Design and build automation frameworks (different from traditional Selenium-based systems) to test data dimensions in complex environments, with the ability to manage big data. Your skills and experience that will help you excel Practical experience in the daily development of data-critical applications. 3-7 years of experience in quality engineering. Proficiency in Python and Java programming. This is a technical role, not a managerial position. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall we'llbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women s Leadership Forum.

The Enterprise Operations and Quality team oversees the data, services, and applications within the Climate and Sustainability Engineering and MSCIs Data Technology verticals. Our primary responsibility is to manage and support end-to-end Quality Engineering by creating tools and tests that ensure continuous quality assessment of applications, services, and generated data. MSCI is renowned for its high-quality data, which is crucial for critical investment decisions, and our role is vital to this mission. Your Key Responsibilities Create and deploy engineering solutions to tackle intricate data validation issues. Write code in Python and/or Java to ensure the integrity of high-quality data. Design and build automation frameworks (different from traditional Selenium-based systems) to test data dimensions in complex environments, with the ability to manage big data. Your skills and experience that will help you excel Practical experience in the daily development of data-critical applications. 3-7 years of experience in quality engineering. Proficiency in Python and Java programming. This is a technical role, not a managerial position. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women s Leadership Forum. . . To all recruitment agencies . Note on recruitment scams

Calculate, validate and process all assigned Rebates, including GPO administrative fees, billbacks, flat rebates, wholesaler admin fees and shelf-stock adjustments. Reconcile and resolve discrepancies and provide detailed support for collection of invalid disputes. Identify root cause of issues with discrepancies and recommend corrective action to eliminate future occurrences and reduce outstanding rebate deduction balance. Submit validated rebates for payment per department procedure. Participate and/or contribute to special projects as needed. Update Rebate Tracker for assigned rebates. Perform ad hoc analysis as required. Perform other duties as requested.

BAE Data Analysis and Tracking Implementing robust data validation and cleaning processes to ensure data accuracy and consistency and to handle data segmentation, consolidation, and maintenance efficiently. Ensuring correct data import and establishing accurate relationships in the data model. Collaborated with stakeholders to establish clear criteria for each BAE and test the template. Used robust scripting and testing to ensure the automation works correctly. Creation of standard template for each BAE and mapped the data with the master excel sheet. BAE Realization Collecting BAE realization data from iValua and Accolade data base integrating information from different data sets Power BI application Fetch data from business map tool using import method and blank query option Create report and visuals using slicers and filters Write Dax query for creating measures and calculated columns Create data models for building relationships between tables Use power query editor for data transformation Use schedule refresh in power BI refresh for auto refresh Share reports with the users with permissions Use row level security Qualification: BE Mechanical (Mandatory) Skills: Power BI & Data Analysis

The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. The primary responsibility of this role is to effectively manage and analyze large volumes of data, with the aim of extracting valuable insights. The ideal candidate should possess exceptional analytical skills, as well as the ability to manipulate and interpret complex datasets using a variety of technologies, including programming languages. Additionally, the candidate should be able to foster strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. About the Role Key Requirements: Data Analysis: Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. Data Validation, Cleaning and Preprocessing: Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity Data Visualization: Present findings in a clear and concise manner through the use of charts, graphs, and other visualizations. Enable users to easily understand and interpret the data through effective visual representations. Ad-hoc Data Analysis: Conduct ad-hoc data analysis to provide actionable recommendations to stakeholders. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. Collaboration: Collaborate closely with cross-functional teams, including business analysts, data engineers, and data scientists, to understand their requirements and provide data-driven solutions. Foster effective teamwork and communication to deliver optimal outcomes. Storytelling : Generate insights from the data and communicate them to the key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on the processes, products or business. Documentation: Develop and maintain documentation related to data analysis processes and procedures. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. Continuous Improvement: Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, ensuring they align with industry best practices. Essential Requirements: Strong analytical skills with the ability to manipulate and interpret large datasets. Knowledge of statistical techniques and data mining algorithms. Proficiency in programming languages (example - Python language). Strong SQL with aptitude for learning other analytics tools Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. Effective communication skills to present findings to both technical and non-technical stakeholders Desirable Requirements: 7+ years eextensive experience in Data and/or Business Analytics. candidates with a background in Financial Data Analytics will be an added advantage Bachelor s or Master s degree in a relevant field such as mathematics, statistics, economics, or computer science. strong written and verbal communication skills

Collaborate with business stakeholders to gather and translate data requirements into analytical solutions. Analyze large and complex datasets to identify trends, patterns, and actionable insights. Design, develop, and maintain interactive dashboards and reports using Elasticsearch/Kibana or Power BI. Conduct ad-hoc analyses and deliver data-driven narratives to support business decision-making. Ensure data accuracy, consistency, and integrity through rigorous validation and quality checks. Write and optimize SQL queries, views, and data models for reporting and analysis. Present findings through compelling visualizations, presentations, and written summaries. Work closely with data engineers and architects to enhance data pipelines and infrastructure. Contribute to the development and standardization of KPIs, metrics, and data governance practices Required Skills (Technical Competency): Bachelor or master degree in data science, Computer Science, Statistics, or a related field. 5+ years of experience in a data analyst or business intelligence role. Proficiency in SQL and data visualization tools such as Power BI, Kibana, or similar. Proficiency in Python, Excel and data storytelling. Understanding of data modelling, ETL concepts, and basic data architecture. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills To adhere to the Information Security Management policies and procedures. Desired Skills: Elasticsearch/Kibana, Power BI, AWS, Python, SQL, Data modelling, Data analysis, Data quality checks, Data validation, Data visualization, Stakeholder communication, Excel, Data storytelling, Team collaboration, Problem-solving, Analytical thinking, Presentation skills, ETL concepts.

We re seeking a Business Analyst who thrives on solving problems, spotting inefficiencies, and improving processes through automation. You ll work closely with Product and Operations teams to automate transaction workflows, identify bugs, and support root cause analysis. This role demands strong analytical skills, attention to detail, and the ability to drive continuous improvement. WHAT YOU LL DO: Work with Product & Ops teams to identify manual, repetitive transaction processes ripe for automation Document business requirements and functional specifications for automation of transaction flows Analyze and investigate system/data issues, support bug identification and resolution tracking Collaborate with engineering teams to ensure business needs are translated accurately into automated solutions Support UAT and validate outcomes for transaction-related automation fixes or improvements Build documentation, workflows, and SOPs for automated processes Use data to validate automation success, identify gaps, and suggest improvements Write and run basic SQL queries to support analysis, data validation, and troubleshooting WHAT YOU LL NEED: A Bachelor s/Master s Degree with 4-5 years of experience as a Business Analyst, preferably in Insurance, BFSI, or SaaS environments Prior exposure to automation of business processes/transactions, workflow tools etc. Excellent analytical and investigative skills - comfortable digging into issues and identifying patterns Proven experience in bug tracking, triaging, and collaborating with QA or Engineering Familiarity with tools like JIRA, Confluence, Excel/Sheets, and process mapping platforms Strong communication skills for cross-functional collaboration Basic SQL for data extraction and analysis

You will be responsible for bank entries and bank reconciliation, as well as sales and purchase entries. It is essential to have knowledge of GST and Income Tax, from preparation to submission. You will be expected to prepare and finalize GST returns in a timely manner and possess TDS knowledge. Maintaining books of account and having a basic understanding of relevant tax and accounting concepts are crucial for this role. You will need to validate data, analyze for accuracy and relevance, and have knowledge of export documentation. Candidates from the E-Commerce industry will have an added advantage. This is a full-time, permanent position with a day shift schedule and a yearly bonus. A Bachelor's degree is required for this role, and a CA-Inter certification is preferred.,

At Allucent, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Senior Clinical Data Manager I to join our A-team in the Chennai location. The Senior Clinical Data Manager I (SrCDM1) will be responsible for leading data management activities of the Allucent Data Management (DM) department. In this role, your key tasks will include leading and serving as the primary contact for DM with all relevant parties both internally and externally, planning and projecting the resources required, monitoring tasks against budgets and forecasts, and developing, reviewing, and maintaining project-specific DM documents. You will also lead and coordinate the development of clinical study database set-up, participate in the review of study documents, coordinate database User Acceptance Testing (UAT), create training materials for EDC users, oversee data cleaning and validation, and manage various data transfers and reconciliation activities. Additionally, you will provide project metric reports, status updates, study progress, and feedback to the project team, organize and lead Quality Review activities during the study, assist in project-related contracts negotiation, and manage the database maintenance, lock, and close-out processes. You will also participate in conference calls and meetings with vendors and sponsors, maintain DM study documentation, support internal and external audits, align data management and clinical programming best practices, and provide leadership and support to other department members. To be successful in this role, you should possess a life science or healthcare degree, a minimum of 5 years of relevant work experience as a Clinical Data Manager, thorough knowledge of ICH-GCP, 21CFR11 data privacy guidelines, and experience with electronic data capture software systems. You should also have experience as a DM lead on several studies, strong written and verbal communication skills, strong project management skills, and the ability to simplify complex issues into understandable concepts. Benefits of working at Allucent include a comprehensive benefits package, competitive salaries, departmental study/training budget, flexible working hours, opportunity for remote/office-based working, leadership and mentoring opportunities, internal growth opportunities, access to online training, eligibility for Spot Bonus Award Program, and eligibility for Loyalty Award Program. Please note that office-based employees are required to work in-office for a minimum number of days per work week. Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on open roles. Candidates should never be submitted directly to hiring managers, employees, or human resources.,

Hiring KYC ANALYST for Gurgaon Location Location: Gurgaon CTC- 5LPA Call/WhatsApp- 7678572840, 9147047908, 9147047909, 7290845078 Key Responsibilities: Conduct due diligence and Know Your Customer (KYC) research for institutional and corporate clients, ensuring compliance with Anti-Money Laundering (AML) policies and regulatory requirements. Perform KYC onboarding and account opening tasks, including liaising with front office teams to collect and validate information and documents. Update internal systems with accurate client details, perform quality checks, and manage document uploads. Manage the pipeline for new account onboarding as well as periodic KYC reviews and remediation activities Review negative media alerts and client screening results; escalate any issues or red flags as appropriate. Execute Office of Foreign Assets Control (OFAC) screenings using World-Check or similar tools to identify Politically Exposed Persons (PEPs) and high-risk entities. Communicate effectively with front office staff and other stakeholders to maintain internal control standards and ensure timely resolution of queries. Meet production targets while ensuring accuracy and quality of work under tight deadlines. Identify process gaps or issues during onboarding and escalate as necessary. Key Requirements: Bachelors degree from a recognized university. Relevant KYC experience in an organisation with one year experience Fluent in spoken and written English. Strong attention to detail and ability to deliver high-quality work independently and under pressure. Good interpersonal and communication skills to coordinate with various teams.

You are a skilled QA / Data Engineer with 3-5 years of experience, joining a team focused on ensuring the quality and reliability of data-driven applications. Your expertise lies in manual testing and SQL, with additional knowledge in automation and performance testing being highly valuable. Your responsibilities include performing thorough testing and validation to guarantee the integrity of the applications. Your must-have skills include extensive experience in manual testing within data-centric environments, strong SQL skills for data validation and querying, familiarity with data engineering concepts such as ETL processes, data pipelines, and data warehousing, experience in Geo-Spatial data, a solid understanding of QA methodologies and best practices for software and data testing, and excellent communication skills. It would be beneficial for you to have experience with automation testing tools and frameworks like Selenium and JUnit for data pipelines, knowledge of performance testing tools such as JMeter and LoadRunner for evaluating data systems, familiarity with data engineering tools and platforms like Apache Kafka, Apache Spark, and Hadoop, understanding of cloud-based data solutions like AWS, Azure, and Google Cloud, along with their testing methodologies. Your proficiency in SQL, JUnit, Azure, Google Cloud, communication skills, performance testing, Selenium, QA methodologies, Apache Spark, data warehousing, data pipelines, cloud-based data solutions, Apache Kafka, Geo-Spatial data, JMeter, data validation, automation testing, manual testing, AWS, ETL, Hadoop, LoadRunner, ETL processes, and data engineering will be crucial in excelling in this role.,

You are a detail-oriented Chartered Accountant responsible for supporting and driving finance transformation initiatives to enhance efficiency, improve reporting, and streamline financial operations. Your role as a Finance Transformation Analyst involves working closely with finance and project teams to analyze current processes, gather requirements, and help implement technology solutions like SAP cFIN, SAC, and other allied tools. Your analytical mindset, familiarity with financial systems, and excellent communication skills will be crucial in supporting key stakeholders and driving change. Your key areas of responsibilities include: Data Analysis and Process Mapping: - Conduct detailed analysis of current finance processes to identify inefficiencies and areas for improvement. - Create and maintain process maps, document workflows, and suggest improvements based on best practices and business requirements. - Perform data analysis to support decision-making and provide insights into the effectiveness of existing finance operations. Requirements Gathering and Solution Design: - Collaborate with finance, IT, and project teams to gather and document requirements for finance transformation initiatives. - Assist in designing solutions that align with organizational goals, including process improvements and technology implementations. - Translate business requirements into functional specifications and work with technical teams to support system configuration. Project Support and Coordination: - Support project manager in tracking project timelines, milestones, and deliverables to ensure finance transformation projects stay on track. - Help coordinate project tasks such as user testing, data validation, and system integration for successful project execution. - Prepare status updates and project documentation to keep stakeholders informed of progress and potential risks. Testing and Data Validation: - Develop test cases and support testing activities, including system integration testing (SIT) and user acceptance testing (UAT). - Conduct data validation and reconciliation to ensure data accuracy and consistency between new and existing systems. - Work with finance and IT teams to troubleshoot issues and provide solutions to resolve data or process discrepancies. Change Management and Training Support: - Assist in change management activities by preparing training materials and conducting user training sessions for smooth adoption of new systems and processes. - Communicate transformation objectives and updates to finance users, providing guidance and addressing concerns related to new tools and processes. - Support end-users post-implementation to ensure they are comfortable with the new system and processes. Continuous Improvement and Reporting: - Monitor and report on the performance of transformed processes, analyzing metrics to assess improvements and identify additional optimization opportunities. - Develop dashboards and reporting tools to provide insights into the effectiveness of finance transformation efforts. - Contribute to continuous improvement initiatives within the finance function by sharing ideas and best practices for process optimization. Qualifications: - Chartered Accountant - Bachelor's in Commerce (Accounting) - SAP FICO certification would be an added advantage Experience: - 2-4 years of experience in finance, accounting, or finance transformation, with exposure to SAP or process improvement projects. - Experience with SAP ECC/HANA and data analysis is preferred.,